flexibleengine.getModelartsDatasetVersions

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Explain and create a flexibleengine.getModelartsDatasetVersions resource

flexibleengine 1.46.0 published on Monday, Apr 14, 2025 by flexibleenginecloud

flexibleenginecloud/terraform-provider-flexibleengine

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as flexibleengine from "@pulumi/flexibleengine";

const config = new pulumi.Config();
const datasetId = config.requireObject("datasetId");
const test = flexibleengine.getModelartsDatasetVersions({
    datasetId: datasetId,
});

import pulumi
import pulumi_flexibleengine as flexibleengine

config = pulumi.Config()
dataset_id = config.require_object("datasetId")
test = flexibleengine.get_modelarts_dataset_versions(dataset_id=dataset_id)

package main

import (
	"github.com/pulumi/pulumi-terraform-provider/sdks/go/flexibleengine/flexibleengine"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi/config"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		cfg := config.New(ctx, "")
		datasetId := cfg.RequireObject("datasetId")
		_, err := flexibleengine.GetModelartsDatasetVersions(ctx, &flexibleengine.GetModelartsDatasetVersionsArgs{
			DatasetId: datasetId,
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Flexibleengine = Pulumi.Flexibleengine;

return await Deployment.RunAsync(() => 
{
    var config = new Config();
    var datasetId = config.RequireObject<dynamic>("datasetId");
    var test = Flexibleengine.GetModelartsDatasetVersions.Invoke(new()
    {
        DatasetId = datasetId,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.flexibleengine.FlexibleengineFunctions;
import com.pulumi.flexibleengine.inputs.GetModelartsDatasetVersionsArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var config = ctx.config();
        final var datasetId = config.get("datasetId");
        final var test = FlexibleengineFunctions.getModelartsDatasetVersions(GetModelartsDatasetVersionsArgs.builder()
            .datasetId(datasetId)
            .build());

    }
}

configuration:
  datasetId:
    type: dynamic
variables:
  test:
    fn::invoke:
      function: flexibleengine:getModelartsDatasetVersions
      arguments:
        datasetId: ${datasetId}

Using getModelartsDatasetVersions

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getModelartsDatasetVersions(args: GetModelartsDatasetVersionsArgs, opts?: InvokeOptions): Promise<GetModelartsDatasetVersionsResult>
function getModelartsDatasetVersionsOutput(args: GetModelartsDatasetVersionsOutputArgs, opts?: InvokeOptions): Output<GetModelartsDatasetVersionsResult>

def get_modelarts_dataset_versions(dataset_id: Optional[str] = None,
                                   id: Optional[str] = None,
                                   name: Optional[str] = None,
                                   region: Optional[str] = None,
                                   split_ratio: Optional[str] = None,
                                   opts: Optional[InvokeOptions] = None) -> GetModelartsDatasetVersionsResult
def get_modelarts_dataset_versions_output(dataset_id: Optional[pulumi.Input[str]] = None,
                                   id: Optional[pulumi.Input[str]] = None,
                                   name: Optional[pulumi.Input[str]] = None,
                                   region: Optional[pulumi.Input[str]] = None,
                                   split_ratio: Optional[pulumi.Input[str]] = None,
                                   opts: Optional[InvokeOptions] = None) -> Output[GetModelartsDatasetVersionsResult]

func GetModelartsDatasetVersions(ctx *Context, args *GetModelartsDatasetVersionsArgs, opts ...InvokeOption) (*GetModelartsDatasetVersionsResult, error)
func GetModelartsDatasetVersionsOutput(ctx *Context, args *GetModelartsDatasetVersionsOutputArgs, opts ...InvokeOption) GetModelartsDatasetVersionsResultOutput

> Note: This function is named GetModelartsDatasetVersions in the Go SDK.

public static class GetModelartsDatasetVersions 
{
    public static Task<GetModelartsDatasetVersionsResult> InvokeAsync(GetModelartsDatasetVersionsArgs args, InvokeOptions? opts = null)
    public static Output<GetModelartsDatasetVersionsResult> Invoke(GetModelartsDatasetVersionsInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetModelartsDatasetVersionsResult> getModelartsDatasetVersions(GetModelartsDatasetVersionsArgs args, InvokeOptions options)
public static Output<GetModelartsDatasetVersionsResult> getModelartsDatasetVersions(GetModelartsDatasetVersionsArgs args, InvokeOptions options)

fn::invoke:
  function: flexibleengine:index/getModelartsDatasetVersions:getModelartsDatasetVersions
  arguments:
    # arguments dictionary

The following arguments are supported:

DatasetId string: Specifies the ID of dataset.
Id string: The ID of the dataset version.
Name string: Specifies the name of the dataset version.
Region string: Specifies the region in which to obtain dataset versions. If omitted, the provider-level region will be used.
SplitRatio string: Specifies the range of splitting ratio which randomly divides a labeled sample into a training set and a validation set. Separate the minimum and maximum split ratios with commas, for example: "0.0,1.0".

DatasetId string: Specifies the ID of dataset.
Id string: The ID of the dataset version.
Name string: Specifies the name of the dataset version.
Region string: Specifies the region in which to obtain dataset versions. If omitted, the provider-level region will be used.
SplitRatio string: Specifies the range of splitting ratio which randomly divides a labeled sample into a training set and a validation set. Separate the minimum and maximum split ratios with commas, for example: "0.0,1.0".

datasetId String: Specifies the ID of dataset.
id String: The ID of the dataset version.
name String: Specifies the name of the dataset version.
region String: Specifies the region in which to obtain dataset versions. If omitted, the provider-level region will be used.
splitRatio String: Specifies the range of splitting ratio which randomly divides a labeled sample into a training set and a validation set. Separate the minimum and maximum split ratios with commas, for example: "0.0,1.0".

datasetId string: Specifies the ID of dataset.
id string: The ID of the dataset version.
name string: Specifies the name of the dataset version.
region string: Specifies the region in which to obtain dataset versions. If omitted, the provider-level region will be used.
splitRatio string: Specifies the range of splitting ratio which randomly divides a labeled sample into a training set and a validation set. Separate the minimum and maximum split ratios with commas, for example: "0.0,1.0".

dataset_id str: Specifies the ID of dataset.
id str: The ID of the dataset version.
name str: Specifies the name of the dataset version.
region str: Specifies the region in which to obtain dataset versions. If omitted, the provider-level region will be used.
split_ratio str: Specifies the range of splitting ratio which randomly divides a labeled sample into a training set and a validation set. Separate the minimum and maximum split ratios with commas, for example: "0.0,1.0".

datasetId String: Specifies the ID of dataset.
id String: The ID of the dataset version.
name String: Specifies the name of the dataset version.
region String: Specifies the region in which to obtain dataset versions. If omitted, the provider-level region will be used.
splitRatio String: Specifies the range of splitting ratio which randomly divides a labeled sample into a training set and a validation set. Separate the minimum and maximum split ratios with commas, for example: "0.0,1.0".

getModelartsDatasetVersions Result

The following output properties are available:

DatasetId string
Id string: The ID of the dataset version.
Region string
Versions List<GetModelartsDatasetVersionsVersion>: Indicates a list of all dataset versions found. Structure is documented below.
Name string: The name of the dataset version.
SplitRatio string: The ratio of splitting which randomly divides a labeled sample into a training set and a validation set.

DatasetId string
Id string: The ID of the dataset version.
Region string
Versions []GetModelartsDatasetVersionsVersion: Indicates a list of all dataset versions found. Structure is documented below.
Name string: The name of the dataset version.
SplitRatio string: The ratio of splitting which randomly divides a labeled sample into a training set and a validation set.

datasetId String
id String: The ID of the dataset version.
region String
versions List<GetModelartsDatasetVersionsVersion>: Indicates a list of all dataset versions found. Structure is documented below.
name String: The name of the dataset version.
splitRatio String: The ratio of splitting which randomly divides a labeled sample into a training set and a validation set.

datasetId string
id string: The ID of the dataset version.
region string
versions GetModelartsDatasetVersionsVersion[]: Indicates a list of all dataset versions found. Structure is documented below.
name string: The name of the dataset version.
splitRatio string: The ratio of splitting which randomly divides a labeled sample into a training set and a validation set.

dataset_id str
id str: The ID of the dataset version.
region str
versions Sequence[GetModelartsDatasetVersionsVersion]: Indicates a list of all dataset versions found. Structure is documented below.
name str: The name of the dataset version.
split_ratio str: The ratio of splitting which randomly divides a labeled sample into a training set and a validation set.

datasetId String
id String: The ID of the dataset version.
region String
versions List<Property Map>: Indicates a list of all dataset versions found. Structure is documented below.
name String: The name of the dataset version.
splitRatio String: The ratio of splitting which randomly divides a labeled sample into a training set and a validation set.

Supporting Types

GetModelartsDatasetVersionsVersion

CreatedAt string

The creation time, in UTC format.

Description string

The description of the dataset version.

Files double

The total number of samples.

Id string

The ID of the dataset version.

IsCurrent bool

Whether this version is current version.

Name string

Specifies the name of the dataset version.

SplitRatio string

Specifies the range of splitting ratio which randomly divides a labeled sample into a training set and a validation set. Separate the minimum and maximum split ratios with commas, for example: "0.0,1.0".

Status double